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Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, A. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Imagenet: A large-scale hierarchical image database
Jia Deng, W. Dong, R. Socher, L. Li, K. Li, and Li Fei-Fei · 2009
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Fsim: A feature similarity index for image quality assessment
L. Zhang, Lei Zhang, X. Mou, and D. Zhang · 2011
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Intriguing properties of neural networks
Christian Szegedy, W. Zaremba, Ilya Sutskever, Joan Bruna, D. Erhan, Ian J. Goodfellow, and R. Fergus · 2014
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Shaoqing Ren, Kaiming He, Ross B. Girshick, and J. Sun · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and Andrew Zisserman · 2015
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Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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The limitations of deep learning in adversarial settings
Nicolas Papernot, P. McDaniel, S. Jha, Matt Fredrikson, Z. Y. Celik, and A. Swami · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, V. Vanhoucke, S. Ioffe, Jon Shlens, and Z. Wojna · 2016
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Adversarial examples in the physical world
A. Kurakin, Ian J. Goodfellow, and S. Bengio · 2017
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Shield: Fast, practical defense and vaccination for deep learning using jpeg compression
Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, A. Howard, Menglong Zhu, A. Zhmoginov, and Liang-Chieh Chen · 2018
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Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Y. Qi · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Improving transferability of adversarial examples with input diversity
Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, and A. Yuille · 2019
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Colorfool: Semantic adversarial colorization
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Alibaba security: Adversarial robustness benchmark
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